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Course Outline

Foundations of Blockchain Technology

The architectural properties of decentralization, openness, and transparency

Cryptographic primitives securing the chain: hashing, digital signatures, and Merkle trees

Consensus mechanisms: Proof of Work, Proof of Stake, and emerging alternatives

The roles of nodes, miners, and validators, along with live network topology

 

Cryptocurrency Landscape

Bitcoin and its original ledger model

Ethereum and account-based smart contract execution

Privacy-focused chains: Monero, Zcash, and their distinctions from transparent ledgers

The role of stablecoins, altchains, and other assets in illicit flows

 

Hands-On Lab - Reading the Blockchain

Connecting to Bitcoin and Ethereum nodes for real-time data access

Navigating block explorers and querying live transactions

Analyzing raw transactions, scripts, and smart contract calls

Mapping a wallet's history on a transparent chain

 

Wallets, Keys, and Transaction Mechanics

Wallet taxonomy: web, desktop, mobile, hardware, custodial versus non-custodial solutions

Seed phrases, key derivation processes, and recovery vectors

Distinguishing UTXO from account-based transaction models

Understanding addresses, change outputs, and transaction graphs from a tracer's perspective

 

Mining and Trading as Investigative Context

Mining mechanics, pools, hash rates, and their exploitation for fund laundering or origination

The ecosystem of centralized exchanges, decentralized exchanges, and over-the-counter desks

KYC and AML controls at exchanges and points of failure

How trading patterns can obscure underlying corruption flows

 

Smart Contracts and DeFi Surface

The nature of smart contracts and on-chain state observability

DeFi primitives: swaps, lending mechanisms, liquidity pools, and yield farming

Cross-chain bridges and wrapped assets utilized for obfuscation

Analyzing contract interactions to identify investigative signals

 

Hands-On Lab - Wallet and Transaction Forensics

Inspecting hardware and software wallets in a controlled environment

Recovering and analyzing artifacts from seized devices

Reconstructing transaction graphs across UTXO and account-based chains

 

Address Clustering and Attribution

Common-input clustering and other industry-standard heuristics

Detecting change outputs and identifying behavioral fingerprints

Linking on-chain entities to off-chain identities via OSINT

Combining web crawling, social media data, and leaked sources for attribution

 

Dark Web, Marketplaces, and Criminal Cryptocurrency Flows

Mapping criminal economies on dark web marketplaces

Common typologies: scams, fraud, contraband sales, and sanctions evasion

Tracking proceeds from initial deposit through cash-out points

Identifying indicators of corruption-linked crypto activity

 

Privacy-Enhancing Tools and Counter-Forensics

Mixers, tumblers, and CoinJoin implementations

Privacy coins and the limitations of public-chain tracing

Cross-chain bridges and asset wrapping as obfuscation layers

Assessing what tracing techniques can and cannot recover

 

Hands-On Lab - Tracing a Suspect Wallet

Using open-source tools to follow complex transaction graphs

Clustering wallet networks and assigning confidence levels to attribution

Documenting findings as a structured intelligence package

 

Money Laundering Typologies in Crypto

Placement, layering, and integration adapted for digital assets

Layering techniques through decentralized exchanges, bridges, and mixers

Utilizing DeFi protocols as laundering surfaces and how to interpret them

Cash-out vectors: peer-to-peer markets, OTC desks, and prepaid instruments

 

Ransomware, Theft, and Scam Response

Ransomware payment patterns and immediate response procedures

Negotiation and recovery practices, including associated limits and risks

Analyzing exchange hacks, rug pulls, phishing attacks, and large-scale thefts

Collaborating with victims to preserve evidence without compromising the investigation

 

Cross-Chain Investigation

Tracing assets across Bitcoin, Ethereum, and EVM-compatible chains

Following funds through bridges and wrapped tokens

Reconciling on-chain evidence with exchange and off-chain records

 

Hands-On Simulation - Corruption Investigation Lab

Simulating a bribery flow across multiple chains and a mixer

Constructing a coherent narrative from fragmented on-chain evidence

Generating chain-of-custody documentation for digital evidence

 

AML Compliance and the Legal Landscape

FATF guidance, the Travel Rule, and jurisdictional variations

AML and KYC obligations across virtual asset service providers

Sanctions, politically exposed persons, and corruption-relevant typologies

Integrating cryptocurrency findings into existing compliance programs

 

Working with Exchanges and Cross-Border Partners

Utilizing subpoenas, MLATs, and information-sharing channels

Executing freezing orders, asset preservation, and seizure procedures

Coordinating cryptocurrency tracing with traditional financial investigation lines

 

Digital Evidence and Courtroom Readiness

Maintaining chain of custody for cryptocurrency artifacts and on-chain evidence

Presenting blockchain evidence effectively to non-technical decision-makers and juries

Addressing common challenges to digital evidence and defending findings

Collaborating with expert witnesses and external technical advisors

 

Capstone - End-to-End Corruption Inquiry Simulation

Conducting a full investigation starting from an initial intelligence tip

Building wallet networks, attribution models, and timelines

Engaging exchanges and cross-border partners

Producing a courtroom-ready report and delivering an oral briefing

Summary and Next Steps

Requirements

  • Intermediate technical proficiency, including networking knowledge and basic Linux command-line usage
  • Working understanding of cryptographic concepts such as hashing and public-key encryption
  • Background in financial investigation, cybersecurity, digital forensics, or compliance
  • Familiarity with at least one scripting language is beneficial but not mandatory
  • General comprehension of financial transactions and AML principles

Targeted Audience

Investigators and forensic analysts working within anti-corruption agencies, financial crime units, and law enforcement bodies. Cybersecurity specialists supporting fraud detection, AML operations, and digital evidence functions. Compliance and risk professionals operating in regulated environments where exposure to cryptocurrency is increasingly prevalent.

 35 Hours

Custom Corporate Training

Training solutions designed exclusively for businesses.

  • Customized Content: We adapt the syllabus and practical exercises to the real goals and needs of your project.
  • Flexible Schedule: Dates and times adapted to your team's agenda.
  • Format: Online (live), In-company (at your offices), or Hybrid.
Investment

Price per private group, online live training, starting from 8000 € + VAT*

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